_base_ = "../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py"
model = dict(
    roi_head=dict(
        type="DynamicRoIHead",
        bbox_head=dict(
            type="Shared2FCBBoxHead",
            in_channels=256,
            fc_out_channels=1024,
            roi_feat_size=7,
            num_classes=80,
            bbox_coder=dict(
                type="DeltaXYWHBBoxCoder",
                target_means=[0.0, 0.0, 0.0, 0.0],
                target_stds=[0.1, 0.1, 0.2, 0.2],
            ),
            reg_class_agnostic=False,
            loss_cls=dict(type="CrossEntropyLoss", use_sigmoid=False, loss_weight=1.0),
            loss_bbox=dict(type="SmoothL1Loss", beta=1.0, loss_weight=1.0),
        ),
    ),
    train_cfg=dict(
        rpn_proposal=dict(nms=dict(iou_threshold=0.85)),
        rcnn=dict(
            dynamic_rcnn=dict(
                iou_topk=75,
                beta_topk=10,
                update_iter_interval=100,
                initial_iou=0.4,
                initial_beta=1.0,
            )
        ),
    ),
    test_cfg=dict(rpn=dict(nms=dict(iou_threshold=0.85))),
)
